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research group. We value quality over quantity, both in terms of group size and when choosing publication venues. The lab is embedded into an excellent environment for research in computer science, with
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a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its scientific vision targets: (1) the development of a holistic multi-hazard risk
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Max Planck Institute of Microstructure Physics • | Halle, Sachsen Anhalt | Germany | about 23 hours ago
of information technology and sustainability. The primary areas of advanced research include Spintronics, Oxides and Interfaces, Atomically Engineered Materials, Computational Materials Discovery, Topological Materials, Non
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molecular tools to evaluate the ecological role of parasites and virus in the Elbe Estuary. The work is carried out as part of the DFG Graduate Program “Biota-Mediated Effects of Carbon Cycling in Estuaries
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varieties arising from zero-mutable Laurent polynomials. Prior experience in any of these areas as well as an interest in combinatorial and computational methods is welcome, but not required. What we offer
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equivalent in Mathematics, Computer Science, or Statistics Proficiency in one or multiple programming languages (R, Python, Julia, MATLAB) Interest in infectious disease dynamics, public health, global health
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HBIGS Heidelberg Biosciences International Graduate School | Heidelberg, Baden W rttemberg | Germany | about 1 month ago
21 Oct 2025 Job Information Organisation/Company HBIGS Heidelberg Biosciences International Graduate School Department Biosciences Research Field Biological sciences » Biology Researcher Profile
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26 Oct 2025 Job Information Organisation/Company Helmholtz-Zentrum für Umweltforschung - UFZ Research Field Environmental science Researcher Profile First Stage Researcher (R1) Country Germany
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offering PhD positions for students with a background in data science, computer science, computational science, or a domain science with a strong focus on computational science and an interest in training
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grades in the field of mechanical engineering, material science, physics, computational science or similar, preferably with a specialization in the field of theory and/or simulation Strong understanding